Instructions to use creatorchain/creator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatorchain/creator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("creatorchain/creator") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/Yq0GwKM_qEAVltKaPslUO_80e958ac1ee24d45b60459928c4f7042 (1).jpg
- text: '-'
output:
url: images/qwfirj8uj9ibTrg5nFk9h_8e7bc44e0e05404480b7408c578aadd5.jpg
- text: '-'
output:
url: images/sfmgITzWlErvR4DD471pJ_be4e30ede8ae4b58ac55069b05be100c.jpg
- text: '-'
output:
url: images/vf0GBNyj0NjoslwHpT9_V_98fc1950db364c3198ba4888e3dd0bea.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: $creator
license: apache-2.0
$creator
.jpg)
- Prompt
- -

- Prompt
- -

- Prompt
- -

- Prompt
- -
Trigger words
You should use $creator to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.